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    • Estimating winter wheat biomass by coupling the CBA-Wheat model and multispectral remote sensing

    • The latest research progress shows that scientists have successfully improved the accuracy of winter wheat biomass estimation using the CBA Wheat model optimized by genetic algorithm, providing an effective tool for large-scale remote sensing prediction.
    • Vol. 28, Issue 12, Pages: 3123-3135(2024)   

      Published: 07 December 2024

    • DOI: 10.11834/jrs.20243080     

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  • Wang S J,Liu M,Zhao Y,Liu Z Y,Liu X Y,Feng H K, Sui X Y and Li Z H. 2024. Estimating winter wheat biomass by coupling the CBA-Wheat model and multispectral remote sensing. National Remote Sensing Bulletin, 28(12):3123-3135 DOI: 10.11834/jrs.20243080.
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相关作者

Wenke LIN 福建师范大学 湿润亚热带山地生态国家重点实验室培育基地;福建师范大学 地理研究所;福建省减灾中心
Yagang LU 国家林业和草原局华东调查规划设计院
Xiandie JIANG 福建师范大学 湿润亚热带山地生态国家重点实验室培育基地;福建师范大学 地理研究所
Guiying LI 福建师范大学 湿润亚热带山地生态国家重点实验室培育基地;福建师范大学 地理研究所
Dengqiu LI 福建师范大学 湿润亚热带山地生态国家重点实验室培育基地;福建师范大学 地理研究所
Dengsheng LU 福建师范大学 湿润亚热带山地生态国家重点实验室培育基地;福建师范大学 地理研究所
LIU Zhiwei 中南大学 地球科学与信息物理学院
ZHAO Rong 中南林业科技大学 土木工程学院

相关机构

State Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University
Institute of Geography, Fujian Normal University
Institute of East China Inventory and Planning, National Forestry and Grassland Administration
Disaster Reduction Center of Fujian Province
School of Geosciences and Info-physics, Central South University
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